R vs Python

R vs Python:

Which One is better for data science?

R Programming:

R is one of the oldest programming language developed by academics and statisticians.R comes into existence in year 1995. Now R is providing the richest ecosystem for data analysis.

Python Programming:

On the other hand Python can do the same tasks as R programming language does. The major features of python are data wrangling, engineering, web scraping and also very useful for hackers and so on.

Difference R or Python:

• R is more functional, Python is more object-oriented.
• R has more data analysis built-in, Python relies on packages.
• R has more statistical support in general.
• Straightforward to do non-statistical tasks in Python.
• Parallels between the data analysis workflow in both.
• R is more functional, it provides variety of functions the data scientist i.e Im, predict and son on. Most of the work done by functions in R.
• R was created as a statistical language, and it shows, statsmodels in python and other packages provide decent coverage for statistical methods, but the R ecosystem is far from large.
• R provides the build in data analysis for summary statistics, it is supported by summary built-in functions in R.
• Well placed libraries like beautifulsoup and request.
• Web scrapping in python is much easier than R.This applies to other tasks that we don't see closely.